Data Extraction & Loading
We begin by extracting data from multiple systems/sources. Our experts build secure and automated data pipelines to extract and load data into a centralized warehouse or lakehouse.
Data Engineering Services
Your data should fuel business growth, not hold it hostage. We, as a data engineering company, help growing companies replace patchwork pipelines with enterprise-grade data systems. Our expert-led data engineering services help businesses personalize customer experiences, optimize operations, and deploy AI faster.
Prepare Data For Intelligent Tasks With Our Data Engineering Services
In the world, around 81% of businesses don’t have the right data strategy, and 84% lack robust data systems in place to make the most of their data. We want you not to fall into those businesses. We fix that by offering our business-centric data engineering services:
Data Strategy & Consulting
From choosing the right architecture to creating data models, we’ll help you define a clear, scalable data strategy aligned with your business goals, ensuring your data initiatives deliver real value faster.
Data Warehouse & Data Lake Implementation
We design and implement high-performance data warehouses and data lakes tailored to your needs. Whether you want to have a structured warehouse or a scalable lakehouse, we help you create secure repositories where raw and processed data can reside, ready for transformation, modeling, and analytics.
Data Modeling
Our data engineers model data into smart, efficient data structures that empower businesses to achieve faster insights and seamless reporting and scalable business applications faster that drive success.
Data Pipeline Development
Our data engineers design and build robust data pipelines that move your data securely from multiple sources to a single processing platform. Whether through batch data ingesting or real-time data streams, we ensure your pipelines are scalable and fault-tolerant.
Data Processing & Transformation Services
Raw data comes in an unstructured format; hence, they require data scrubbing, data cleaning, transformation, and enhancement to be used for various analytics and decision-making purposes. With the help of ETL/ELT practices, we deliver analytics-ready datasets that are trusted and timely.
Data Analytics & Business Intelligence Solutions
Our data engineers collaborate with analysts to deliver end-to-end data analytics services. From extracting actionable insights to designing interactive, visual dashboards, we turn your raw data into strategic assets, enabling informed decision-making for your business.
Is Your Data Costing You Millions?
Schedule a free data audit and discover your data-driven profit with our expert data engineering solutions in minutes.
Book A Free 30-min Data AuditOur Latest Work On Providing Data Engineering Solutions
So far, our team has helped customers from across the globe in turning their data into actionable insights. Here are the case studies that define success.
71%
Increase on-site safety awareness
65%
Increased worker collaboration
59%
Reduced hazardous events and accidents
20%
Reduction in on-site accidents
Partnering with Navatech, we developed an AI-powered chatbot for construction firms to enhance on-site safety, which has also gotten a NEOM partnership. Leveraging structured data pipelines, it delivers real-time answers, safety guidelines, and incident reporting, boosting compliance and decision-making.
99%
Object Recognition Accuracy
95%
Accuracy for Paint.AI
97%
Accuracy for Mobile AI
100K+
App downloads
In collaboration with a globally recognized AI innovator backed by $3M in funding from Stanford Research Institute, we delivered a robust data engineering solution to fuel an AI color visualization tool to be smarter, enabling users to virtually experiment with paint colors and textures on their real estate properties.
98%
HIPAA compliance achieved
98.5%
GDPR compliance achieved
70%
Reduction in claim processing time
100%
Adoption rate
We built a data-driven athlete management platform to help coaches and teams track performance, manage schedules, analyze player health using real-time insights, and ultimately streamline decision-making through powerful data architecture.
Data Engineering Processes We Use
At MindInventory, as a leading data engineering company, our experts ensure you receive clean, transformed, and structured data at scale, ready for any project you’re planning to undertake.
-
Step 1
-
Step 2Data TransformationUsing a modern ELT process, we perform in-warehouse transformations to clean, validate, normalize or denormalize, enrich, and structure data into business-ready formats.
-
Step 3Analytics & Insights DeliveryWe enable real-time decision-making by connecting the warehouse to BI tools, custom dashboards and reports, ML models, and analytics to enable real-time insights, smarter decisions, and strategic foresight.
-
Step 4Cross-Process Engineering Best PracticesTo ensure reliability, security, and scalability across the pipeline, we embed orchestration & scheduling, monitoring & logging, data quality frameworks, security & access controls, and data governance & lineage.
Tech Stack We Follow When Providing Data Engineering Services
As a data engineering company, we follow cutting-edge tools and technologies to prepare data for AI-driven software development solutions.
Batch Processing
- Apache NiFi
- Talend
Real-Time Streaming
- Apache Kafka
- Amazon Kinesis
Data Storage & Management
- AWS S3
- Google Cloud Storage
- Azure Data Lake
- Amazon Redshift
- Google BigQuery
- PostgreSQL
- MySQL
- MongoDB
- Cassandra
- Redis
ETL/ELT Tools
- Apache Airflow
- AWS Glue
- dbt
- Talend
Big Data Frameworks
- Apache Spark
- Hadoop
Workflow Orchestration
- Apache Airflow
- Prefect
Automation & Scheduling
- AWS Step Functions
- Azure Data Factory
Monitoring Tools
- Prometheus
- Grafana
Cloud Platforms
- AWS
- Google Cloud
- Azure
- Digital Ocean
Data Analytics
- Snowflake
- databricks
- Apache Spark
- Apache Airflow
- docker
- PySpark
- Grafana Labs
- Datadog
- Gemini
- Apache Kafka
- PubSub
BI Tools
- Tableau
- Looker
- Power BI
AI/ML Integration
- TensorFlow
- PyTorch
- scikit-learn
- MLflow
- Kubeflow
- AWS SageMaker
- Google AI Platform
Why Choose MindInventory As Your Ideal Data Engineering Services Company?
Most businesses sit on terabytes of unused data. All they require is the right data strategy to reduce customer churn rate through predictive analytics, cut cloud costs through intelligent pipeline design, and launch new data products faster in the market. That’s where MindInventory comes in with data engineering services offerings. Here’s why you should choose us:
We have a deep bench of data engineers with extensive industry experience who have worked on 50+ data projects on average.
From data platform evaluation through cloud data strategy and roadmap, our data strategy & consulting ensures alignment with your business goals long before a single pipeline is built.
We’ve network and channel partnerships with AWS, Google Cloud, Datadog, and New Relic, appointing us as the reliable source for data engineering services and cloud data services requirements.
Our processes meet ISO 9001:2015, ISO 27001:2022, and ISO 42001:2023 (AI) standards, are HIPAA-compliant, and are SOC 2 Type 2 certified, helping us ensure your data is secure and audit-ready at all times.
Our partnerships deliver 4× faster issue resolution, 70% fewer manual errors, and 45% lower maintenance overhead, translating directly into cost savings and operational efficiency.
With offices in India, the USA, and the Netherlands, we combine local responsiveness with global expertise to support enterprise-scale projects anywhere.
With deep industry expertise in Healthcare, Finance, Retail, Sports, Real Estate, Education, and Fitness, our data engineering services ensure that your business from any of these industries makes the most of it.
About Us
Crafting cutting-edge digital solutions with creative minds
Who We Are
A Mindful team of tech innovators bringing world-class tech ideas to reality. We embrace the power of technology to provide cutting-edge digital solutions that propel our clients toward unprecedented success.
What Drives Us?
Creativity is our heartbeat. We constantly challenge ourselves to further our technical prowess and help our customers to deliver exceptional customer experience.
Trusted By 1600+ Happy Clients, Including Fortune Companies
Our Achievements
4.6
Top IT services company
4.7
Top mobile app development company
4.8
Top mobile app development company
5.0
Top mobile developers
Client Testimonials
Discover our client success stories as they share their experiences partnering with MindInventory.
Frequently Asked Questions
Explore common queries our customers bring to us when opting for our data engineering services.
Companies need data engineering services to transform raw, fragmented data into reliable, actionable insights that drive smarter decisions, operational efficiency, and innovation. As businesses generate data at scale from various sources, data engineering services ensure this information is effectively collected, processed, and made analytics-ready.
Today, where businesses are relying on multiple digital platforms, each generating large data volumes every second, they can benefit from data engineering services as it helps to:
- Strategically manage ever-expanding data volumes
- Seamlessly integrate siloed data from multiple sources
- Ensure data quality and reliability through data validation and ETL processes
- Enhance data security and compliance through access control setups and data lineage tracking
- Do the groundwork to support advanced analytics and AI initiatives
Absolutely. Data engineering services help to improve data quality and consistency through data validation and cleansing, data standardization, data profiling and auditing, ETL pipelines, and governance.
With data engineering services, you can implement solid infrastructure and processes to collect, clean, transform, and manage data, which makes data eligible for analysis and insight extraction.
Steps to build scalable data pipelines include processes to define requirements, select the right tools, design modular pipelines, leverage cloud infrastructure, ensure fault tolerance, optimize performance, and continuously test and iterate.
Data engineering helps to build and maintain the pipelines, warehouses, and infrastructure that prepare data, while data science helps to analyze that data to uncover patterns and build models.
Absolutely. When you choose MindInventory to be your ideal data engineering company, you can access talented data engineers with diverse skill sets who take end-to-end ownership of your project and help you harness the full potential of your business data.
Data engineering services enable businesses to streamline data collection, integration, and transformation processes, offering them insights to make informed decisions with confidence.
Of course. We provide a customized long-term data roadmap designed to align with your specific business growth goals.
Our team collaborates closely with you to understand your objectives, industry trends, and data needs. We then craft a strategic, scalable roadmap that integrates advanced analytics, actionable insights, and performance metrics to drive sustainable growth.
To ensure seamless data flow and integration, our team of data engineers assesses your data ecosystem, maps out compatibility requirements, and employs APIs, middleware, or custom connectors to ensure smooth data flow.
We leverage ETL (extract, Transform, Load) and ELT pipelines and modern integration tools to seamlessly integrate data from diverse sources. For legacy systems, we use specialized migration strategies to preserve data integrity while modernizing your infrastructure, enabling unified, real-time insights.
Absolutely. As a certified cloud engineering company, we specialize in integrating data solutions with leading cloud providers like AWS, Google Cloud, and Azure. To do so, our experts design tailored architectures leveraging native cloud tools (e.g., AWS Glue, Google, BigQuery, and Azure Data Factory) to ensure scalability, security, and performance.
MindInventory offers comprehensive ongoing support post-deployment, including proactive troubleshooting, scalability enhancements, staff training, performance optimization, and regular updates to ensure your data engineering solutions run smoothly.
While ROI varies based on your business goals, our customers typically see benefits like 20-40% cost reductions in data management, faster time-to-insights, and increased revenue through data-driven strategies.
Looking for other Services?
Explore our other related services to enhance the performance of your digital product.
Explore All ServiesData Engineering Insights From Our Experts
Read the exclusive insights from our experts regarding the latest trends, advancements, and future of data engineering.
If you’re looking to understand data lake vs data warehouse vs data mart, it’s likely because you’re making or soon will make a critical decision about how your organization stores,…
Data science holds immense transformative power when strategically employed by businesses to drive growth. This blog post offers an insightful overview of what data science is for businesses, its key…
In this data and AI-driven age, whoever owns more data has much potential to do business impressively, make someone vouch for them, or play their malicious games. While sharing data…